semantic-memory-mcp SKILL.md skillA

semantic-memory-mcp from komluk/scaffolding is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add komluk/scaffolding/semantic-memory-mcp@git:20261020.3712723

Pins git:20261020.3712723 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
komluk/scaffolding
Path
skills/semantic-memory-mcp/SKILL.md
Versions recorded
6
Latest version
git:20261020.3712723, committed Oct 20, 2026
First version recorded
May 20, 2026
Size
8,437 bytes
Repository stars
16
License
MIT

Search, recall and store using the memory MCP tools (search_context, semantic_search, semantic_recall, semantic_store, notes). TRIGGER when: searching prior insights mid-task, or deciding whether and how to store an insight or note. SKIP: repo file tiers under .scaffolding/ (use agent-memory); scoring /learn candidates (use distill).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Semantic Memory MCP Usage

You have access to a subset of the 13 memory MCP tools. Use the search/recall tools PROACTIVELY -- do not wait to be asked. Only call a tool your agent's `tools:` frontmatter actually grants; that frontmatter is authoritative. See the `mcp-tools` skill for the full 13-tool inventory and access table.

## Tools Available

| Tool | Purpose |
|------|---------|
| `search_context` | Search ingested context chunks |
| `semantic_search` | Find memories by similarity query |
| `semantic_recall` | Get formatted memories for current context |
| `semantic_store` | Store a new memory with embedding |
| `store_note` / `read_note` / `list_notes` | Persist/read/list note documents |
| `trigger_ingest` | Queue one just-written document (`corpus` + `relative_path`) for immediate indexing (~3s to become searchable) instead of waiting up to 15 minutes |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add komluk/scaffolding/semantic-memory-mcp@sha256:510d578f4ee8889d

The line at the top of this page pins the label git:20261020.3712723, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_lcts3eakbtbnvoos.svg)](https://markdownregistry.com/a/art_lcts3eakbtbnvoos)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between May 20, 2026 and Oct 20, 2026, about one every 31 days.

versioncommittedcommitsizeaudit
git:20261020.3712723 latest2026-10-20 3712723 8,437 BA view · diff
git:20260806.c0bac532026-08-06 c0bac53 6,776 BA view · diff
git:20260805.a2db7ae2026-08-05 a2db7ae 6,587 BA view · diff
git:20260731.ebe5c5a2026-07-31 ebe5c5a 5,341 BA view · diff
git:20260530.687e66f2026-05-30 687e66f 5,359 BA view · diff
git:20260520.3aa374b2026-05-20 3aa374b 4,851 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8437 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

komluk/scaffolding · 16 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lcts3eakbtbnvoos
GET https://markdownregistry.com/api/v1/resolve?ref=komluk/scaffolding/semantic-memory-mcp
GET https://markdownregistry.com/api/v1/blob/510d578f4ee8889dd453c7817402bcfff8e6182e3365ee0443a71454ca3ad3f2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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